Join us for an expert-led overview of the tools and concepts you'll need to pass exam PL-300. The first session starts on June 11th. See you there!
Get registeredPower BI is turning 10! Let’s celebrate together with dataviz contests, interactive sessions, and giveaways. Register now.
Input Raw Data | ||
Hire Date | Name | Location |
10/29/2019 | A | AAA |
10/30/2019 | B | BBB |
3/5/2012 | C | CCC |
5/10/2018 | E | AAA |
6/7/2018 | F | BBB |
8/25/2017 | G | CCC |
9/13/2016 | H | AAA |
1/19/2020 | I | BBB |
2/21/2020 | I | CCC |
3/19/2020 | I | AAA |
3/9/2020 | I | BBB |
Desired Output1 | ||
Number of Headcount per Month as on 2020 | Headcount by month | |
Jan'20 | 8 | |
Feb'20 | 9 | |
Mar'20 | 11 |
@Anonymous ,
You can create a measure with the below DAX and use for this purpose
running headcount = CALCULATE(COUNT('Table (2)'[Name]), FILTER(ALL('Table (2)'), 'Table (2)'[Hire Date] <= MAX('Table (2)'[Hire Date])))
Regards,
Something like this? You can use date table to slice the data.
HeadCount = COUNTROWS( HireData )
Running Headcount =
VAR Result =
CALCULATE (
[HeadCount],
FILTER ( ALL ( Dates ), Dates[Date] <= MAX ( Dates[Date] ) )
)
RETURN
IF ( [HeadCount] > 0, Result, BLANK () )
HI @Anonymous ,
See if this helps.
Watch this video from 5:38 onwards.
https://www.youtube.com/watch?v=rsx43g7TBBs
Regards,
Harsh Nathani
Appreciate with a Kudos!! (Click the Thumbs Up Button)
Did I answer your question? Mark my post as a solution!
This is your chance to engage directly with the engineering team behind Fabric and Power BI. Share your experiences and shape the future.
Check out the June 2025 Power BI update to learn about new features.
User | Count |
---|---|
16 | |
13 | |
12 | |
11 | |
11 |
User | Count |
---|---|
19 | |
14 | |
14 | |
11 | |
9 |